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Content related to Designing IA for AI: Information Architecture Conference 2024

Driving Behavioral Change for Information Management through Data-Driven Green Strategy (EDW 2024)

Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented “Driving Behavioral Change for Information Management through Data-Driven Green Strategy” on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida.  In … Continue reading

Webinar: Semantic Layer Technical Deep Dive

In this webinar, Enterprise Knowledge’s Sara Mae O’Brien-Scott moderates a conversation with Chris Marino, Urmi Majumder, and Heather Hedden as they take a deep dive in the the technical aspects of a Semantic Layer. The panelists explore the components that … Continue reading

IA Fast-Track to Search-Focused AI Solutions: Information Architecture Conference 2024

Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their … Continue reading

Industry Panel: Different Applications of a Semantic Layer — Takeaways Blog

As part of our larger webinar series designed to explore the Semantic Layer’s pivotal role in modern data management and artificial intelligence, on Monday, April 22, Enterprise Knowledge hosted a webinar titled “Industry Panel: Different Applications of a Semantic Layer.” … Continue reading

Webinar: Different Applications of a Semantic Layer Industry Panel

In this webinar, Enterprise Knowledge’s Lulit Tesfaye moderates a conversation with Malcolm Hawker, Polly Alexander, and Mohammed Aaser to discuss the role of Semantic Layers, what they are, and what value they offer organizations in the quickly changing world being … Continue reading

Synergizing Knowledge Graphs with Large Language Models (LLMs): A Path to Semantically Enhanced Intelligence

Why do Large Language Models (LLMs) sometimes produce unexpected or inaccurate results, often referred to as ‘hallucinations’? What challenges do organizations face when attempting to align the capabilities of LLMs with their specific business contexts? These pressing questions underscore the … Continue reading